Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Visual Introduction to Singular Value Decomposition (SVD)Learn about the SVD using visualization of matrix transformations.8 min read·Apr 20, 2021----
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Eigenvectors and application to PCAUnderstand eigenvectors and eigenvalues and how they relate to Principal Component Analysis (PCA)9 min read·Feb 23, 2021--2--2
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Basis and Change of BasisUnderstand the linear algebra concept of basis useful for eigendecomposition and SVD.11 min read·Feb 1, 2021--1--1
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Introduction to Systems of Linear EquationsUnderstand and visualize the row and column picture of system of linear equations8 min read·Jan 13, 2021----
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Matrices as Linear TransformationsUnderstand and visualize matrices as space transformations8 min read·Dec 29, 2020----
Hadrien JeaninTowards Data ScienceIntroduction to Matrices and the Matrix ProductBuild a good understanding of one of the building blocks of linear algebra: matrices and their product.9 min read·Dec 16, 2020----
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Introduction to Linear AlgebraLearn about scalars, vectors, and the dot product.10 min read·Dec 10, 2020----
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Information TheoryEntropy, cross-entropy, log loss, and KL divergence11 min read·Dec 2, 2020----
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: The Poisson DistributionLearn about this important discrete distribution through code and example.7 min read·Nov 24, 2020--1--1
Hadrien JeaninTowards Data ScienceEssential Math for Data Science: Area Under The ROC Curve and IntegralsLearn about integrals and model performance comparison using the area under the ROC curve14 min read·Nov 5, 2020--2--2